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Ayelet H.

GitHub

Bio

A software developer with strong analytical thinking, rapid learning abilities, and exceptionally high motivation. Willing to work hard and persist in order to achieve the highest level of success. Seeking a challenging position that will allow me to grow professionally, create meaningful impact, and combine creativity with technological innovation.

Skills

C++
C
Docker
OpenMP
NEON-SIMD
V4L2
DMA
OpenCV
Linux Kernel
OPEN CV
IOCTL.

Bootcamp Project

SpeedyCam

High-performance real-time imaging system for Raspberry Pi

Mobileye

Mentored by: Mobileye

Embedded Systems Bootcamp 2025 (Embedded)

Responsibilities:

  • Developed a kernel-level camera module for Linux with MIPI-CSI and DMA support for real-time frame acquisition on Raspberry Pi.

  • Designed an efficient shared-memory mechanism for transferring image data between Kernel and User Space, minimizing memory copies and improving throughput

  • Implemented a Color Conversion algorithm supporting YUV, LAB, LUV, and GRAY color spaces, including NEON-SIMD optimizations for vectorized real-time processing.

  • Accelerated the image-processing pipeline using OpenMP to distribute workloads across multiple CPU cores for continuous, high-throughput processing

  • Accelerated the image-processing pipeline using OpenMP to distribute workloads across multiple CPU cores for continuous, high-throughput processing.

  • Built a comprehensive suite of unit tests and integration tests using mocks.

  • Researched IOCTL interfaces and alternative communication mechanisms between User Space and Kernel Space for driver control and frame management.

  • Designed and developed a thread-safe system library implementing a parallel pipeline: A dedicated high-priority thread for high-rate frame acquisition from the video stream And a second asynchronous thread for image processing The architecture provides load separation, non-blocking operation, and improved real-time system stability

Ayelet H. - Task Preview
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Additional Projects

05–06/2025 : Currency Tracker Dashboard | Angular & .NET

• Integrated with an external currency exchange API to fetch real-time and historical rates.

• Built an interactive data visualization dashboard in Angular, allowing users to select currencies and view trend graphs over custom time ranges


04–05/2025 : E-Shop Management System | React & Node.js

• Developed a full-stack React & Node.js e-commerce application with an admin dashboard for managing products, users, and orders

• Implemented secure role-based authentication, user registration, login, and session persistence for restoring cart and order history

• Stored and managed all data (users, products, orders, shopping cart) using JSON files on the Node.js server.

English Level

Working Proficiency